Execution layer for enterprise agents.

Run Agents in the cloud. Control what they can do.
Observe every run and improve the next one.
01RUN

Run Agents in the cloud

Give every Agent durable execution and the tools to finish real work—without building or operating the execution stack.
Durable executionKeep context and continue work across Conversations.
Real toolsGive Agents browsers, files, compute, Skills, and apps.
Any surfaceRun the same Agent through your API, product, CLI, or Slack.
02CONTROL

Control what it can do

Set capabilities and boundaries before work begins. Rebyte enforces the same policy across every run and every surface.
Skills + MCP and hundreds of connected apps
CapabilitiesApprove the models, Skills, MCP servers, tools, and apps it may use.
BoundariesRestrict network access, credentials, execution steps, and spend.
PolicyDefine the Agent once and apply the same controls to every run.
03OBSERVE & IMPROVE

See what happened. Improve what happens next.

Turn production runs into a feedback loop. Observe the execution, annotate the outcome, and help the Agent improve over time.
ObserveTrace every model step, tool call, error, token, and cost.
AnnotateMark the outcomes worth repeating and the ones that need correction.
ImproveFeed production evidence back into instructions, Skills, and evaluations.
Production Agent trace showing model steps and tool calls
A complete production run, from first model step to final response.

Run your first Agent

Get an organization API key, define an Agent, and send an OpenAI-compatible Responses request. Add Skills, MCP servers, and Runtime controls when the job needs them.